Thinking from the frontier of autonomous IT operations.
Research, engineering deep-dives, customer stories, and industry analysis from the AAQUILIX team.
Why 70% of Enterprise IT Incidents Can Be Resolved Without Human Intervention
A data-driven analysis of 2.4 million alerts across six industries shows that the majority of L1 and L2 incidents follow predictable patterns — and are prime candidates for autonomous resolution.
GoalSet Architecture: How Policy-First AI Governs Autonomous Actions
A deep dive into AAQUILIX's GoalSet engine — the layer that sits between AI intent and execution, ensuring eve…
Benchmarking AI Autonomous Resolution Rates Across 6 Industries
Banking achieves 68% autonomous resolution. Healthcare reaches 72%. Retail peaks at 75% during high-traffic ev…
The True Cost of Alert Fatigue in Enterprise IT Operations
The average enterprise NOC receives 1,000–1,500 alerts per day. 70% are false positives. We calculate the real…
Client-Local AI: Why Data Sovereignty Demands On-Premise Intelligence
Sending infrastructure telemetry to a cloud AI introduces latency, compliance risk, and a single point of fail…
From 1,200 Alerts/Day to 87% Auto-Resolution: A Tier-1 Banking Case Study
A top-5 Indian private bank ran AAQUILIX in observe mode for 7 days, then activated L1 automation. Oracle bloc…
AAQUILIX 2.1: L2 Automation, Razorpay Payments, and the New Client Portal
What's new in AAQUILIX 2.1 — full L2 autonomous remediation, dual payment gateway (Stripe + Razorpay), enhance…
AIOps vs. Traditional MSP: A Total Cost of Ownership Comparison
Traditional MSP pricing ties cost to headcount and ticket volume. Unit-based AI pricing flips the model. We co…
Closed RAG vs. Open RAG: Choosing the Right Knowledge Architecture for IT Automation
Private knowledge bases excel at high-confidence resolution for known patterns. External LLMs handle novel inc…